Kava — interactions

Carries a hepatotoxicity signal and measurable CYP2E1 inhibition in vivo. In the Gurley probe study kava did NOT significantly move CYP3A4 or CYP2D6, which is worth stating because it is frequently claimed that it does.

Also known as: Piper methysticum, kavalactones, awa. Category: plant.

What it does, mechanism by mechanism

Additive hepatotoxicity — provides, moderate

Two or more agents with documented liver injury signals taken together. Not a pharmacokinetic interaction; the additivity is at the organ.

Sources: Gurley BJ 2005 · more on Additive hepatotoxicity

GABA-A positive modulation — agonist, moderate

Increases the effect of GABA at the GABA-A receptor without being GABA. The shared mechanism of alcohol, the benzodiazepines, the Z-drugs and the kavalactones. Additivity across agents on this axis is the mechanism behind sedation deepening into respiratory depression.

Kavain and the other major kavalactones potentiate GABA-A currents by a mechanism distinct from the benzodiazepine site. This is the axis that makes combination with alcohol, benzodiazepines, Z-drugs or opioids the practical hazard rather than any of the exotic mechanisms below.

Sources: Chua HC 2016, Sarris J 2009 · more on GABA-A positive modulation

Additive CNS depression — agonist, moderate

Sedation, impaired coordination, and at sufficient combined load impaired airway protection and breathing. The most common serious harm in this whole corpus and the least exotic. It does not need a metabolic interaction to happen: the agents simply add.

Sources: Chua HC 2016 · more on Additive CNS depression

FAAH inhibition — inhibits, weak

Slows fatty acid amide hydrolase, the enzyme that breaks down anandamide and the related fatty-acid amides. Raises anandamide tone rather than adding an outside agonist. Additive with anything else acting on the same system, and the clinical FAAH-inhibitor programmes are a reminder that an enzyme inhibitor is not inherently mild.

Reported from in-vitro enzyme assays. A micromolar IC50 in a dish does not establish that a dietary, tea or capsule dose reaches that concentration at the enzyme in a person, and for most of these compounds no human pharmacokinetic study exists. Treated here as a mechanism worth knowing about, not as an established clinical effect.

Sources: Ligresti A 2012 · more on FAAH inhibition

MAGL inhibition — inhibits, weak

Slows monoacylglycerol lipase, which performs the large majority of 2-AG hydrolysis in brain. Raises 2-AG and simultaneously diverts it away from the arachidonic-acid pool. Sustained complete blockade produces CB1 desensitisation in animals, so more inhibition is not simply more effect.

Reported from in-vitro enzyme assays. A micromolar IC50 in a dish does not establish that a dietary, tea or capsule dose reaches that concentration at the enzyme in a person, and for most of these compounds no human pharmacokinetic study exists. Treated here as a mechanism worth knowing about, not as an established clinical effect.

Sources: Ligresti A 2012 · more on MAGL inhibition

CB1 agonism (partial) — agonist, weak

Activates the CB1 receptor as a partial agonist, as the plant cannabinoids do. Partial agonism has a ceiling: beyond a point more drug does not produce more receptor activation. That ceiling is the reason cannabis does not depress respiration to the point of death.

Yangonin binds CB1 with a reported Ki near 720 nM — the same order as the endocannabinoid 2-AG at roughly 472 nM. Binding affinity is not efficacy, and what yangonin does at the receptor once bound is less well characterised than the binding itself.

Sources: Ligresti A 2012 · more on CB1 agonism (partial)

MAO-B inhibition — inhibits, weak

Blocks monoamine oxidase B, which preferentially handles dopamine and phenylethylamine. At low, B-selective doses the tyramine hazard is much smaller; selectivity is lost as dose rises.

All six major kavalactones inhibit MAO-B reversibly in vitro. B-selective and reversible inhibition carries a much smaller dietary-tyramine hazard than a non-selective irreversible MAOI, which is why this is scored weak rather than dropped.

Sources: Mathews JM 2002 · more on MAO-B inhibition

CYP2C9 inhibition — inhibits, moderate

Slows the enzyme handling S-warfarin, phenytoin and NSAIDs. S-warfarin is the clinically dominant enantiomer; small shifts move the INR.

Methysticin and dihydromethysticin are the potent inhibitors in vitro, with CYP2C9 and CYP2C19 the most affected. Note the disagreement worth carrying: in the Gurley human probe study kava did NOT significantly move CYP3A4 or CYP2D6, while it did inhibit CYP2E1. In vitro potency and in vivo probe results point in different directions here and the honest reading keeps both.

Sources: Mathews JM 2002, Gurley BJ 2005 · more on CYP2C9 inhibition

CYP2C19 inhibition — inhibits, moderate

Slows the enzyme handling clopidogrel activation, PPIs and some benzodiazepines. For clopidogrel the effect is loss of antiplatelet activity, not accumulation.

Same in-vitro source as CYP2C9, same in-vivo caveat.

Sources: Mathews JM 2002 · more on CYP2C19 inhibition

CYP2E1 inhibition — inhibits, moderate

Slows the enzyme handling ethanol at higher concentrations and the bioactivation of paracetamol to NAPQI. Both directions matter: inhibition and induction change how much reactive metabolite the liver makes, which is why this enzyme is a hepatotoxicity axis rather than a plain clearance one.

The one CYP effect the Gurley human probe study did find. CYP2E1 is the paracetamol bioactivation pathway, which connects a CYP finding to the hepatotoxicity signal on the same substance.

Sources: Gurley BJ 2005 · more on CYP2E1 inhibition

Flagged on its own

Moderate Endocannabinoid tone raised from 3 directions: Kava

Mechanism: stacked endocannabinoid modulation

This stack acts on more than one of the routes that terminate endocannabinoid signalling — FAAH inhibition, MAGL inhibition, alongside a declared CB1 agonist. The mechanisms are separate, so in principle they are not redundant. Three things should be said plainly about what follows from that. The individual inhibition figures behind most of these botanicals come from in-vitro enzyme assays at micromolar concentrations, and for most of them there is no human pharmacokinetic study establishing that an ordinary dose reaches those concentrations. The combination has not been studied in people at all. And more inhibition is not straightforwardly more effect: sustained complete MAGL blockade produces functional CB1 desensitisation in animals, so the system pushes back.

Several of the plants on this axis carry a second, better-documented pharmacology that is easy to overlook while attending to the cannabinoid one — estrogenic activity for hops and the isoflavones, CYP and P-glycoprotein inhibition for pepper and turmeric, GABA-A modulation and a liver signal for kava. Those are the effects most likely to actually show up.

What to watch for. Unexpectedly strong or prolonged effect from an unchanged amount of a cannabinoid, and sedation if any of the same plants are also on the CNS-depression axis.

Sources: Ligresti A 2012, Schlosburg JE 2010, Nicolussi S 2015, Ligresti A 2016

What it reaches in this dataset

Via CYP2C9 inhibition

Via CYP2C19 inhibition

This list is what is IN the table. It is not the set of substances this interacts with — that set is larger and partly unknown, and the mechanism is the thing to carry to a substance we have not listed.

Specific combinations

What a clean result means here

A clean result means NO DOCUMENTED INTERACTION IN THIS DATASET. It does not mean safe, and it is not a clearance. Most substances are not in this dataset at all, and for many pairs that are, nobody has ever studied the combination.

In this dataset

  • Monoamine oxidase inhibition (prescription MAOIs, RIMAs, linezolid, methylene blue, harmala alkaloids)
  • Serotonergic drugs and the serotonin-toxicity mechanism
  • Dietary tyramine and L-dopa loads
  • The major cytochrome P450 pathways: CYP3A4, CYP2D6, CYP1A2, CYP2C9, CYP2C19 — inhibition and induction
  • P-glycoprotein inhibition and induction
  • 11β-HSD2 inhibition (the licorice mechanism) and the potassium consequences that follow it
  • QT prolongation as an additive pharmacodynamic axis
  • Culinary seasonings and common foods with documented pharmacological activity
  • A selected set of narrow-therapeutic-index drugs where those shifts matter most
  • The endocannabinoid enzymes and transport: FAAH, MAGL, endocannabinoid membrane transport, CB1 and CB2
  • Additive CNS depression and GABA-A positive modulation — the alcohol / benzodiazepine / opioid / kava axis
  • The phytocannabinoids delta-9-THC, cannabidiol and the converted cannabinoids, as both substrates and inhibitors
  • Synthetic full CB1 agonists as a class, and why they are pharmacologically unlike cannabis
  • CYP2E1, and phase-2 glucuronidation and sulfation where a specific entry names them
  • The sedative and potentiator botanicals of the kava literature, and dietary L-dopa from Mucuna

Not in this dataset

  • Any substance not named in this dataset — which is most substances. There are tens of thousands of marketed drugs and this table holds fewer than a hundred entries.
  • Phase-2 conjugation (UGT, SULT, NAT2, COMT) except where a specific entry names it. The oilahuasca corpus turns heavily on phase 2 and this engine models it only in passing.
  • Pharmacogenomics. CYP2D6 and CYP2C19 are strongly polymorphic; a poor metaboliser and an ultra-rapid metaboliser can have opposite outcomes from the same pair, and this engine does not know your genotype.
  • Dose, timing, duration, formulation and route — all of which change whether a documented interaction is clinically real for you.
  • Renal and hepatic impairment, age, pregnancy, and body composition.
  • Bleeding and antiplatelet risk, hypoglycaemia, anticholinergic load, and most other pharmacodynamic axes beyond the ones listed above. Additive CNS depression and GABA-A modulation ARE now modelled — see the covers list — but the absence of a sedation finding still only means the agents you named are not on that axis in this dataset.
  • Herb–herb interactions outside the named entries, and essentially the whole botanical world: most plants have no interaction literature at all.
  • Allergy, intolerance, and contamination or adulteration of unregulated products.
  • Anything published after the last-reviewed date below.
  • Bleeding and antiplatelet risk, which is the mechanism that matters most for garlic, ginkgo and several other common supplements. It is not modelled at all, so a clean result says nothing about it.
  • Whether any of the natural FAAH, MAGL or transport inhibition reported in vitro occurs at all at a dose a person would take. For most of these compounds nobody has measured it.
  • The actual contents of an unregulated cannabinoid product. This engine models named compounds; an unidentified isomer or side-product in a converted-cannabinoid product is outside it by construction.
  • Dose. Every cannabinoid interaction here scales with dose, and consumer product labelling for this category is repeatedly found inaccurate in published surveys.
  • Inhalation-specific hazards — thermal degradation products, diluents chosen for rheology rather than for inhalation toxicology, and carrier and adulterant contamination.

101 substances, 33 mechanisms, 101 citations. Last reviewed . Primary literature (every DOI resolved against the Crossref API) and FDA drug labelling. There is no free, openly-licensed, comprehensive drug-interaction dataset to draw on; NLM retired its Drug Interaction API on 2024-01-02 and DrugBank's interaction set is a commercial licence.

References

  1. Gurley BJ, Gardner SF, Hubbard MA, et al. (2005). In vivo effects of goldenseal, kava kava, black cohosh, and valerian on human cytochrome P450 1A2, 2D6, 2E1, and 3A4/5 phenotypes. Clinical Pharmacology & Therapeutics. doi:10.1016/j.clpt.2005.01.009
  2. Chua HC, Christensen ETH, Hoestgaard-Jensen K, et al. (2016). Kavain, the Major Constituent of the Anxiolytic Kava Extract, Potentiates GABA-A Receptors: Functional Characteristics and Molecular Mechanism. PLOS ONE. doi:10.1371/journal.pone.0157700
  3. Sarris J, Kavanagh DJ, Byrne G, Bone KM, Adams J, Deed G (2009). The Kava Anxiety Depression Spectrum Study (KADSS): a randomized, placebo-controlled crossover trial using an aqueous extract of Piper methysticum. Psychopharmacology. doi:10.1007/s00213-009-1549-9
  4. Ligresti A, Villano R, Allarà M, Ujváry I, Di Marzo V (2012). Kavalactones and the endocannabinoid system: the plant-derived yangonin is a novel CB1 receptor ligand. Pharmacological Research. doi:10.1016/j.phrs.2012.04.003
  5. Mathews JM, Etheridge AS, Black SR (2002). Inhibition of human cytochrome P450 activities by kava extract and kavalactones. Drug Metabolism and Disposition. doi:10.1124/dmd.30.11.1153

Every DOI above was resolved against the Crossref API on 2026-09-09 and the returned title checked against the one printed here. Three DOIs in the first draft resolved to real but different papers and were corrected before publication.

Last reviewed . All interaction pages.